Identifying the patients with rapid progression from hormone-sensitive to castration-resistant prostate cancer

We collected 78 biopsies and analyzed the proteomic expression by pressure cycling technology and Pulsed data-independent acquisition (PCT-PulseDIA) pipeline. Next, we explore the differentially expressed proteins (DEPs) in the discovery set (n=16) which contains short (S, n=8)- and long (L, n=8)- term progression. The progression-related proteins were further identified in another dataset, modeling set (n=62), utilizing the ANOVA estimation and random forest model. Multivariable Cox regression analysis was then conducted to determine clinical and protein variables significantly associated with the progression of HSPC in the whole sample set (n=78).